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Research On Mass Customization-Oriented Intelligent Group Technolony

Posted on:2006-12-13Degree:DoctorType:Dissertation
Country:ChinaCandidate:Y DuFull Text:PDF
GTID:1102360215498507Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
Production of Mass Customization will make the best of modem flexible manufacturetechnology, using CAD and CAM technology, but if leaving Group Technologyideology, it cannot make the best of former information resources and MassCustomization resources. The goal of Mass Customization will never achieve. TheGroup Technology which takes full advantage of comparability in producing courseclassifies the similar components of different production, even the information of partstructure in components, forms "Group Batch" and get benefits. According thisarticle, it will apply aptitude information technology in the Group Technology.1. Bring forward the definition of aptitude Group Technology, and analysis therelation in modem product system and Group Technology, also stress analysis therelationship between Mass Customization and aptitude Group Technology.2. Apply the particles Swarm Optimization Algorithms with Adaptive Mutation inseeking the explanation of the P-middle location model, over come the bug of lowerconstringency rate and premature constringency in using Genetics algorithm.3. Apply the High Attribute Dimensional sparse clustering Recurrent Logical NeuralNetworks Model in fixture designation of the Group Technology. Giving differentthreshold value, this nerve net can dynamically, effectively realize the merger of HighAttribute Dimensional sparse data. The imitation example indicates, this mergerimpact much more accord with practice.4. Adhibit the information entropy theory into fuzzy merger and get over a good manyartificial controlled factors in parameter inputs or pausing conditions of commonmerger arithmetic.5. On the basis of the comparability in axes components's structure-technical,applying entropy merger Neural Network in axes components's classify, exampleindicates that the arithmetic is much more fit for components's structure andtechnical character.6. In order to develop components and its expressive mode classify extension, so thatcan been auto identified by computer, the comparable principle will be applied in thecomponents' classify and identify in Group Technology.7. Apply A Fractionizing and fitting ART2 Neural Network with supervise in theproduct cell classify of Group Technology, overcome the shortage in using theclassification of ART1 Neural Network, example dynamic indicates that classify effect is preferably.8. On the basis of components' geometry and techniques character, applying FuzzyCentral Clustering Algorithms, deduce the hand over study ways which is withoutsupervise to modify Fuzzy Clustering Centre and subjection function, and connect itwith Neural Network, realize row components' characteristic data processing andmode classification, also workout special program, realize a system that computer canauto classify components.In this article, make the most of the nearly aptitude information technology, integratecomputer technology which is applied in Group Technology and also can said asAptitude Group Technology, form "Mass Group", organize the productioncollaboration in reason, take the fastest rate and lowest eost to product consumer'smost approving product. So that can realize the goal of Mass Customization productin fact.
Keywords/Search Tags:Mass Customization, Group Technology, Neural Network, Clustering Fuzzy, comparability principle, information entropy
PDF Full Text Request
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